Individual skill

geopandas

A Python library for reading, writing, and analyzing geospatial vector data; use it when you need spatial operations (buffer/overlay/join), CRS reprojection, or map visualization on formats like Shapefile/GeoJSON/GeoPackage or PostGIS.

scientific-skills/Data Analysis/geopandas/SKILL.md

Read pinned source

Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: Yes
Repository scan complete: No
Skill scan complete: No
Observed behavior: Instructions only
Last checked: Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings): 2,042
Repository last updated: Sep 17, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

bioinformatics Repository topic
computational-biology Repository topic
data-analysis Repository topic
ai Repository topic
biology Repository topic
cancer-genomics Repository topic
data-visualization Repository topic
differential-expression Repository topic
genomics Repository topic
medical Repository topic
data Derived category
operations Derived category
writing Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

SKILL.mdcore · 8,124 bytes
SKILL.mdcore · 8,124 bytes
SKILL.mdcore · 8,124 bytes
SKILL.mdcore · 8,124 bytes
geopandas_audit_result_v2.jsonasset · 12,431 bytes
references/crs-management.mddoc · 5,226 bytes
references/data-io.mddoc · 3,992 bytes
references/data-structures.mddoc · 1,797 bytes
references/geometric-operations.mddoc · 4,528 bytes
references/spatial-analysis.mddoc · 5,140 bytes
references/visualization.mddoc · 5,777 bytes

Read excerpt

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

## When to Use

- You need to **load and export vector geospatial data** (Shapefile, GeoJSON, GeoPackage, Parquet) and keep attributes + geometry together.
- You want to run **geometric operations** such as buffer, simplify, centroid, convex hull, or distance/area calculations.
- You need **spatial analysis** like spatial joins (intersects/within/nearest), overlay (intersection/union/difference), dissolve, or clipping.
- You must **manage coordinate reference systems (CRS)**: inspect CRS, set missing CRS metadata, or reproject between EPSG codes.
- You want to **visualize geospatial data** as static plots (matplotlib) or interactive maps (folium-backed `explore()`).

## Key Features

- **GeoDataFrame / GeoSeries**: pandas-like tabular structures with a geometry column and vectorized spatial methods.
- **Multi-format I/O**: read/write common GIS formats and integrate with PostGIS.
- **CRS-aware transformations**: `set_crs()` for metadata, `to_crs()` for coordinate transformation.